Senior Apache Hadoop Developer

4 weeks ago

Bengaluru India BairesDev Full time

Job Description At BairesDev, we've been leading the way in technology projects for over 15 years. We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley. Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works on roles that drive significant impact worldwide. When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success. Senior Apache Hadoop Developer at BairesDev We are seeking a Senior Apache Hadoop Developer with expertise in big data ecosystem, HDFS architecture, MapReduce paradigm, and YARN resource management. The technology stack includes popular open source big data technologies - Apache Hadoop, and related ecosystem tools. Thus, there is ample scope for collaboration and contribution to open source. The ideal candidate will develop and optimize large-scale distributed data processing systems, contribute to open source projects, and collaborate with engineering teams to deliver innovative big data solutions. What You'll Do: - Contribute actively to Apache Hadoop and related open source projects, spending 20% of your time on upstream development. - Develop and optimize big data ecosystem solutions for large-scale data processing. - Implement HDFS architecture components to ensure reliable distributed data storage. - Build MapReduce paradigm applications for scalable data processing workflows. - Design and optimize YARN resource management systems for cluster efficiency. - Collaborate with engineering teams on system integration and deployment. What we are looking for: - 10+ years of experience in software development. - Strong expertise in big data ecosystem and distributed data processing systems. - Deep understanding of HDFS architecture and distributed file system concepts. - Proficiency in MapReduce paradigm and parallel processing techniques. - Experience with YARN resource management and cluster orchestration. - Core contributions to Apache open source projects (Hadoop, HDFS, Spark, or similar). - Advanced level of English. How we make your work (and your life) easier: - Excellent compensation in USD or your local currency if preferred. - Paid parental leave, vacation, & national holidays. - Innovative and multicultural work environment. - Collaborate and learn from the global Top 1% of talent in each area. - Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities. Join a global team where your unique talents can truly thrive and make a significant impact Apply now

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